# United Kingdom Trade in Goods: Semi-manufactures (5and6): Non-EU: Exports: BOP: CP: SA ()

United Kingdom Trade in Goods: Semi-manufactures (5and6): Non-EU: Exports: BOP: CP: SA () was up 16.5% year on year in September 2026, compared with 15.1% in August 2026.
The level stood at 5,115.0 £m.
That is the highest reading since September 2024.
Over the past ten years it has ranged from −26.3% (Jun 2025) to 37.0% (Jan 2023), averaging 4.5%.

- Source agency: UK Office for National Statistics
- Makrognosis code: `UK.EXPORTS.M.SA.GRP-GOODS.ITEM-SEUC.PARTNER-NONEU`
- Frequency: monthly
- Units: £m
- Coverage: 1997-01-01 to 2026-09-01 (357 observations)
- Page: https://makrognosis.robomacro.com/data/united-kingdom/trade-in-goods-semi-manufactures-5and6-non-eu-exports-bop-cp-sa

## Recent data

| Period | Value | Y/Y % |
|---|---:|---:|
| September 2026 | 5,115.0 £m | 16.5 |
| August 2026 | 5,079.0 £m | 15.1 |
| July 2026 | 4,926.0 £m | 4.9 |
| June 2026 | 5,116.0 £m | 15.0 |
| May 2026 | 5,192.0 £m | 9.9 |
| April 2026 | 4,499.0 £m | 3.8 |
| March 2026 | 4,658.0 £m | −11.6 |
| February 2026 | 4,502.0 £m | −15.8 |
| January 2026 | 4,805.0 £m | 3.1 |
| December 2025 | 4,170.0 £m | −15.4 |
| November 2025 | 4,661.0 £m | 6.1 |
| October 2025 | 4,664.0 £m | −5.4 |
| September 2025 | 4,392.0 £m | −13.9 |
| August 2025 | 4,414.0 £m | −18.9 |
| July 2025 | 4,698.0 £m | 4.8 |
| June 2025 | 4,447.0 £m | −26.3 |
| May 2025 | 4,723.0 £m | 10.6 |
| April 2025 | 4,334.0 £m | −12.3 |
| March 2025 | 5,272.0 £m | 11.1 |
| February 2025 | 5,349.0 £m | 15.8 |
| January 2025 | 4,662.0 £m | −5.5 |
| December 2024 | 4,929.0 £m | 0.2 |
| November 2024 | 4,392.0 £m | −14.3 |
| October 2024 | 4,931.0 £m | 2.7 |

## API

```
curl -H "X-API-Key: $MAKROGNOSIS_KEY" \
  "https://makrognosis.robomacro.com/v1/series/UK.EXPORTS.M.SA.GRP-GOODS.ITEM-SEUC.PARTNER-NONEU"

# Python
import requests
r = requests.get("https://makrognosis.robomacro.com/v1/series/UK.EXPORTS.M.SA.GRP-GOODS.ITEM-SEUC.PARTNER-NONEU",
                 headers={"X-API-Key": KEY})
obs = r.json()["observations"]
```
